treesForRCV: Trees for RCV

In eat: Efficiency Analysis Trees

Trees for RCV

Description

This function generates a deep EAT and all pruning for each train set.

Usage

treesForRCV(notLv, x, y, fold, numStop)

Arguments

notLv	Train set.
x	Column input indexes in data.
y	Column output indexes in data.
fold	Parts in which the original set is divided to perform Cross-Validation.
numStop	Minimum number of observations in a node to be split.

Value

List with each possible pruning for the deep tree generated with train set and its associated alpha values.

eat documentation built on Jan. 10, 2023, 5:13 p.m.